{
    "cells": [
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "# Analyze Electrodermal Activity (EDA)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "This example can be referenced by [citing the package](https://neuropsychology.github.io/NeuroKit/cite_us.html).\n",
                "\n",
                "This example shows how to use NeuroKit2 to extract the features from **Electrodermal Activity (EDA)**."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Load the NeuroKit package\n",
                "import neurokit2 as nk"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {
                "tags": [
                    "remove-input"
                ]
            },
            "outputs": [],
            "source": [
                "# Note: this cell is hidden using the \"remove-input\" tag\n",
                "# Make bigger images\n",
                "import matplotlib.pyplot as plt\n",
                "plt.rcParams['figure.figsize'] = [15, 5]  \n",
                "plt.rcParams['font.size']= 14"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Extract the cleaned EDA signal"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "\n",
                "In this example, we will use a simulated EDA signal. However, you can use any signal you have generated (for instance, extracted from the dataframe using [read_acqknowledge()](https://neuropsychology.github.io/NeuroKit/functions/data.html#read-acqknowledge).\n"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Simulate 10 seconds of EDA Signal (recorded at 250 samples / second)\n",
                "eda_signal = nk.eda_simulate(duration=10, sampling_rate=250, scr_number=3, drift=0.01)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "\n",
                "Once you have a raw EDA signal in the shape of a vector (i.e., a one-dimensional array), or a list, you can use [eda_process()](https://neuropsychology.github.io/NeuroKit/functions/eda.html#eda-process) to process it.\n"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Process the raw EDA signal\n",
                "signals, info = nk.eda_process(eda_signal, sampling_rate=250)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "*Note: It is critical that you specify the correct sampling rate of your signal throughout many processing functions, as this allows NeuroKit to have a time reference.*"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "\n",
                "This function outputs two elements, a *dataframe* containing the different signals (e.g., the raw signal, clean signal, SCR samples marking the different features etc.), and a *dictionary* containing information about the Skin Conductance Response (SCR) peaks (e.g., onsets, peak amplitude etc.)."
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Locate Skin Conductance Response (SCR) features"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "The processing function does two important things for our purpose: Firstly, it cleans the signal. Secondly, it detects the location of 1) peak onsets, 2) peak amplitude, and 3) half-recovery time. Let's extract these from the output."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 3,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Extract clean EDA and SCR features\n",
                "cleaned = signals[\"EDA_Clean\"]\n",
                "features = [info[\"SCR_Onsets\"], info[\"SCR_Peaks\"], info[\"SCR_Recovery\"]]"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "We can now visualize the location of the peak onsets, the peak amplitude, as well as the half-recovery time points in the cleaned EDA signal, respectively marked by the red dashed line, blue dashed line, and orange dashed line."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 4,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 432x288 with 1 Axes>"
                        ]
                    },
                    "metadata": {
                        "needs_background": "light"
                    },
                    "output_type": "display_data"
                }
            ],
            "source": [
                "# Visualize SCR features in cleaned EDA signal\n",
                "plot = nk.events_plot(features, cleaned, color=['red', 'blue', 'orange'])"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "\n",
                "## Decompose EDA into Phasic and Tonic components"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "We can also decompose the EDA signal into its phasic and tonic components, or more specifically, the ***Phasic Skin Conductance Response (SCR)*** and the ***Tonic Skin Conductance Level (SCL)*** respectively.\n",
                "The SCR represents the stimulus-dependent fast changing signal whereas the SCL is slow-changing and continuous. Separating these two signals helps to provide a more accurate estimation of the true SCR amplitude."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 7,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Filter phasic and tonic components\n",
                "data = nk.eda_phasic(nk.standardize(eda_signal), sampling_rate=250)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "*Note: here we **standardized** the raw EDA signal before the decomposition, which can be useful in the presence of high inter-individual variations.*"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "We can now add the raw signal to the dataframe containing the two signals, and plot them!"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 8,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "<AxesSubplot:>"
                        ]
                    },
                    "execution_count": 8,
                    "metadata": {},
                    "output_type": "execute_result"
                },
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 1080x360 with 1 Axes>"
                        ]
                    },
                    "metadata": {
                        "needs_background": "light"
                    },
                    "output_type": "display_data"
                }
            ],
            "source": [
                "data[\"EDA_Raw\"] = eda_signal  # Add raw signal\n",
                "data.plot()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Quick Plot"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "You can obtain all of these features by using the [eda_plot()](https://neuropsychology.github.io/NeuroKit/functions/eda.html#eda-plot) function on the dataframe of processed EDA."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 9,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 1080x360 with 3 Axes>"
                        ]
                    },
                    "metadata": {
                        "needs_background": "light"
                    },
                    "output_type": "display_data"
                }
            ],
            "source": [
                "# Plot EDA signal\n",
                "nk.eda_plot(signals)"
            ]
        }
    ],
    "metadata": {
        "kernelspec": {
            "display_name": "Python 3",
            "language": "python",
            "name": "python3"
        },
        "language_info": {
            "codemirror_mode": {
                "name": "ipython",
                "version": 3
            },
            "file_extension": ".py",
            "mimetype": "text/x-python",
            "name": "python",
            "nbconvert_exporter": "python",
            "pygments_lexer": "ipython3",
            "version": "3.9.7"
        }
    },
    "nbformat": 4,
    "nbformat_minor": 2
}
